Micro-Grooved Pipe Design of Parabolic Trough by Metaheuristic Optimization: An Empirical Comparison
Pipe design is one of the most significant research lines in the area of parabolic semi-cylindrical solar collectors. The main idea behind pipe design is to increase the capillarity angle by expanding the total area being heated, therefore boosting the work capacity of the device. Such capillarity d...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-01-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/13/2/449 |
| _version_ | 1817988861502947328 |
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| author | Valentín Osuna-Enciso Marco Pérez-Cisneros Daniel Zaldívar-Navarro |
| author_facet | Valentín Osuna-Enciso Marco Pérez-Cisneros Daniel Zaldívar-Navarro |
| author_sort | Valentín Osuna-Enciso |
| collection | DOAJ |
| description | Pipe design is one of the most significant research lines in the area of parabolic semi-cylindrical solar collectors. The main idea behind pipe design is to increase the capillarity angle by expanding the total area being heated, therefore boosting the work capacity of the device. Such capillarity depends on several factors, whose numerical calculations are highly complex. Moreover, some of those variables are integers, whereas some others are real; hence, it is necessary to use optimization techniques that are capable of searching in those numerical spaces. There are several optimization tools that allow individual codification as binary strings, granting the coding of integer, real, or any other, as part of the same individual. Consequently, in this paper we propose the comparison of four metaheuristics when they are utilized to maximize the capillarity angle of the pipe in a parabolic trough. Experimental results show a better performance of binary particle swarm optimization when compared against the other techniques, achieving improvements in the capillarity angle of on average <inline-formula> <math display="inline"> <semantics> <mrow> <mn>11</mn> <mo>%</mo> </mrow> </semantics> </math> </inline-formula> in comparison with a similar study. |
| first_indexed | 2024-04-14T00:39:45Z |
| format | Article |
| id | doaj.art-9c2b6f6ddc9642e1a20f51abf1116242 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-14T00:39:45Z |
| publishDate | 2020-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-9c2b6f6ddc9642e1a20f51abf11162422022-12-22T02:22:14ZengMDPI AGEnergies1996-10732020-01-0113244910.3390/en13020449en13020449Micro-Grooved Pipe Design of Parabolic Trough by Metaheuristic Optimization: An Empirical ComparisonValentín Osuna-Enciso0Marco Pérez-Cisneros1Daniel Zaldívar-Navarro2Department of Electronics, Centro Universitario de Ciencias Exactas e Ingenierías—Universidad de Guadalajara, Guadalajara 44430, JAL, MexicoDepartment of Electronics, Centro Universitario de Ciencias Exactas e Ingenierías—Universidad de Guadalajara, Guadalajara 44430, JAL, MexicoDepartment of Electronics, Centro Universitario de Ciencias Exactas e Ingenierías—Universidad de Guadalajara, Guadalajara 44430, JAL, MexicoPipe design is one of the most significant research lines in the area of parabolic semi-cylindrical solar collectors. The main idea behind pipe design is to increase the capillarity angle by expanding the total area being heated, therefore boosting the work capacity of the device. Such capillarity depends on several factors, whose numerical calculations are highly complex. Moreover, some of those variables are integers, whereas some others are real; hence, it is necessary to use optimization techniques that are capable of searching in those numerical spaces. There are several optimization tools that allow individual codification as binary strings, granting the coding of integer, real, or any other, as part of the same individual. Consequently, in this paper we propose the comparison of four metaheuristics when they are utilized to maximize the capillarity angle of the pipe in a parabolic trough. Experimental results show a better performance of binary particle swarm optimization when compared against the other techniques, achieving improvements in the capillarity angle of on average <inline-formula> <math display="inline"> <semantics> <mrow> <mn>11</mn> <mo>%</mo> </mrow> </semantics> </math> </inline-formula> in comparison with a similar study.https://www.mdpi.com/1996-1073/13/2/449parabolic troughaxial micro-groovehyper-optimizationmetaheuristic algorithmsoptimization |
| spellingShingle | Valentín Osuna-Enciso Marco Pérez-Cisneros Daniel Zaldívar-Navarro Micro-Grooved Pipe Design of Parabolic Trough by Metaheuristic Optimization: An Empirical Comparison Energies parabolic trough axial micro-groove hyper-optimization metaheuristic algorithms optimization |
| title | Micro-Grooved Pipe Design of Parabolic Trough by Metaheuristic Optimization: An Empirical Comparison |
| title_full | Micro-Grooved Pipe Design of Parabolic Trough by Metaheuristic Optimization: An Empirical Comparison |
| title_fullStr | Micro-Grooved Pipe Design of Parabolic Trough by Metaheuristic Optimization: An Empirical Comparison |
| title_full_unstemmed | Micro-Grooved Pipe Design of Parabolic Trough by Metaheuristic Optimization: An Empirical Comparison |
| title_short | Micro-Grooved Pipe Design of Parabolic Trough by Metaheuristic Optimization: An Empirical Comparison |
| title_sort | micro grooved pipe design of parabolic trough by metaheuristic optimization an empirical comparison |
| topic | parabolic trough axial micro-groove hyper-optimization metaheuristic algorithms optimization |
| url | https://www.mdpi.com/1996-1073/13/2/449 |
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